以語意網技術建立企業資訊入口

Development of Enterprise Information Portal Based on Semantic Web Technology

許家豪(Chia-Hao Hsu)

指導教授 ： 葉慶隆

大同大學/電機資訊學院/資訊工程學系所/碩士(2005年)

摘要

隨著企業上資訊爆炸的問題，人們需要一個有效的方法去管理資訊，藉由語意標語言如全球資訊網聯盟(W3C)的資源描述語言(Resource Description Language)可達到資訊的管理。語意網擴展目前的網站結構，在資訊方面給予意義上明確的定義，並且使得人和電腦可以共同合作處理資訊。在這篇論文中，我們設計並實作一個可以管理語意網資料摘要層的架構。系統由一個RDF儲存體(Sesame)組成作為保持被收集的metadata的索引系統。在前端部分的使用者是被架構在推理引擎和應用介面藉由所提供RDF儲存體的許多服務介面。概念式搜尋介面是一個搜尋功能企圖用概念式作為搜尋的結果。語意瀏覽服務介面提供ㄧ種方法藉由語意連結來查詢資料。
透過這樣的機制，我們希望提供一種更容易的知識管理跟知識呈現和更有效的維護資訊的方法。

關鍵字

語意網 ； 企業入口

並列摘要

With the problem of information in the enterprise, people need an efficient way to manage the information by making it up with a semantic markup language, such as the Resource Description Language of W3C. The Semantic Web is an extension of the current Web where information is given well-defined meaning, better, enabling computers and people to process in cooperation. In this thesis, we design and implement an architecture that is able to manage the metadata layer of the Semantic Web. The system consists of a RDF store (Sesame) as the indexing system of keeping the collected metadata. In front of users are a number of services interfaces that are implemented based on the inference engine and application interfaces provided by the RDF store. The conceptual search interface is a search function that attempts to conceptual match results with the query. The navigation service interface provides a way for searching the data by the semantic linker.
Through this kind of mechanism, I hope to provide a way for knowledge management and knowledge representation more easily and method for maintain information more efficiently.

並列關鍵字

EIP ； ontology ； RDF ； Semantic Web

參考文獻

[24] Enterprise Information Portal (EIP), http://searchsap.techtarget.com/sDefinitoin/0,,sid21_gci533557,00.html

[8] Brain McBride, Resource Description Framework (RDF): Concept and Abstract Syntax, W3C Recommendation, http://www.w3.org/TR/rdf-concepts/

[9] World Wide Web Consortium (W3C), http://www.w3.org/

[12] DARPA Agent Markup Language (DAML), http://www.daml.org/

[21] RDQL- A Query Language for RDF, http://www.w3.org/Submission/RDQL